Mixed membership models for multilevel functional data are constructed via a hierarchical Karhunen-Loeve representation and a repulsive prior that supports identifiability of partial class memberships.
Journal of Computational and Graphical Statistics, 33(4), 1139-1149
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Mixed Membership Models for Multilevel Functional Data
Mixed membership models for multilevel functional data are constructed via a hierarchical Karhunen-Loeve representation and a repulsive prior that supports identifiability of partial class memberships.